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Publications

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    • All HBS Web  (473)
      • Faculty Publications  (277)

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      Liz Claiborne and the New Working Woman
      Overview
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      • March 2021
      • Supplement

      Artea (A), (B), (C), and (D): Designing Targeting Strategies

      By: Eva Ascarza and Ayelet Israeli
      Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on...  View Details
      Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/b Testing; Experiment; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice And Bias; Retail industry; apparel And accessories industry; Technology industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School PowerPoint Supplement 521-719, March 2021.
      • March 17, 2021
      • Other Article

      Beyond Pajamas: Sizing Up the Pandemic Shopper

      By: Ayelet Israeli, Eva Ascarza and Laura Castrillo
      A first look at how the COVID-19 pandemic impacted e-commerce apparel shopping in the US and the UK. Extensive analysis and interactive graphics utilizing millions of transactions.
      While the pandemic is still playing out, our preliminary investigations suggests...  View Details
      Keywords: Retail; Retail Analytics; Consumer; Pandemic; Covid; Covid-19; apparel; Ecommerce; E-commerce; Online Shopping; Online Apparel; Online Sales; Returns; Crm; Customer Retention; Customer Experience; Customer Value; Digital; Customer Focus And Relationships; Customers; Health Pandemics; Consumer Behavior; Customer Relationship Management; Online Technology; Behavior; Retail industry; apparel And accessories industry; Technology industry; United States; United Kingdom
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      Israeli, Ayelet, Eva Ascarza, and Laura Castrillo. "Beyond Pajamas: Sizing Up the Pandemic Shopper." Harvard Business School Working Knowledge (March 17, 2021).
      • February 2021
      • Case

      Threadless: The Renewal of an Online Community

      By: Shane Greenstein, Karim Lakhani and Christian Godwin
      Threadless, an online apparel company and artist community which Jake Nickell founded in 2000, continued to maintain its status as a top company in the online apparel industry during its second decade. From 2010 to 2020, Threadless continued to operate its...  View Details
      Keywords: Business Model; Decision Making; Entrepreneurship; Innovation And Invention; Leading Change; Management; Marketing; Product Launch; Operations; Supply Chain; Distribution; Networks; Sales; Strategy; Adaptation; Technology; Software; Technology Platform; apparel And accessories industry; Technology industry; North America
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      Greenstein, Shane, Karim Lakhani, and Christian Godwin. "Threadless: The Renewal of an Online Community." Harvard Business School Case 621-056, February 2021.
      • 2021
      • Working Paper

      Auditor Independence and Outsourcing: Aligning Incentives to Mitigate Shilling and Shirking

      By: Ashley Palmarozzo, Jodi L. Short and Michael W. Toffel
      Multinational corporations (MNCs) hire auditors to assess their business partners’ compliance with quality, working conditions, and environmental standards. Independent third-party auditors are widely assumed to outperform second-party auditors employed and thus...  View Details
      Keywords: Concurrent Sourcing; Transaction Cost Economics; Outsourcing; Suppliers; Monitoring; Business Strategy; Vertical Integration; Supply Chain Management; Quality; Safety; Risk And Uncertainty; apparel And accessories industry; Retail industry; China; India; Bangladesh
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      Palmarozzo, Ashley, Jodi L. Short, and Michael W. Toffel. "Auditor Independence and Outsourcing: Aligning Incentives to Mitigate Shilling and Shirking." Harvard Business School Working Paper, No. 21-078, January 2021.
      • January 2021 (Revised March 2021)
      • Case

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Jill Avery, Ayelet Israeli and Emma von Maur
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...  View Details
      Keywords: Data; Data Analytics; Artificial Intelligence; Ai; Ai Algorithms; Ai Creativity; Fashion; Retail; Retail Analytics; Digital Marketing; E-commerce; E-commerce Strategy; Platform; Platforms; Marketing Strategy; Brands And Branding; Consumer Behavior; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; Marketing Channels; "marketing Analytics"; Advertising; Mobile App; Mobile Marketing; apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Data And Data Sets; Analysis; Creativity; Marketing Strategy; Brands And Branding; Consumer Behavior; Demand And Consumers; Forecasting And Prediction; Online Advertising; Online Technology; Mobile Technology; Fashion industry; Retail industry; apparel And accessories industry; Consumer Products industry; United States
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      Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
      • September 2020
      • Technical Note

      Algorithmic Bias in Marketing

      By: Ayelet Israeli and Eva Ascarza
      This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing...  View Details
      Keywords: Algorithmic Data; Race And Ethnicity; Promotion; "marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-commerce Strategy; E-commerce; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice And Bias; Marketing Communications; Data And Data Sets; Analysis; Decision Making; Ethics; Customer Relationship Management; Retail industry; apparel And accessories industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020.
      • September 2020 (Revised March 2021)
      • Exercise

      Artea: Designing Targeting Strategies

      By: Eva Ascarza and Ayelet Israeli
      This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...  View Details
      Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-commerce; E-commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/b Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; Retail industry; apparel And accessories industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised March 2021.)
      • September 2020
      • Teaching Note

      Algorithmic Bias in Marketing

      By: Ayelet Israeli and Eva Ascarza
      Teaching Note for HBS No. 521-020. This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and...  View Details
      Keywords: Marketing; Race; Ethnicity; Gender; Diversity; Prejudice And Bias; Decision Making; Ethics; Customer Relationship Management; Retail industry; Technology industry; apparel And accessories industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Teaching Note 521-035, September 2020.
      • September 2020
      • Supplement

      Spreadsheet Supplement to "Artea: Designing Targeting Strategies"

      By: Eva Ascarza and Ayelet Israeli
      Spreadsheet Supplement to "Artea: Designing Targeting Strategies" (521-021).  View Details
      Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Retail industry; apparel And accessories industry; Technology industry; United States
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      Ascarza, Eva, and Ayelet Israeli. Spreadsheet Supplement to "Artea: Designing Targeting Strategies". Harvard Business School Spreadsheet Supplement 521-703, September 2020.
      • September 2020
      • Exercise

      Artea (B): Including Customer-level Demographic Data

      By: Eva Ascarza and Ayelet Israeli
      This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...  View Details
      Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice And Bias; Retail industry; apparel And accessories industry; Technology industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-level Demographic Data." Harvard Business School Exercise 521-022, September 2020.
      • September 2020
      • Exercise

      Artea (C): Potential Discrimination through Algorithmic Targeting

      By: Eva Ascarza and Ayelet Israeli
      This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...  View Details
      Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice And Bias; Retail industry; apparel And accessories industry; Technology industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020.
      • September 2020 (Revised March 2021)
      • Exercise

      Artea (D): Discrimination through Algorithmic Bias in Targeting

      By: Eva Ascarza and Ayelet Israeli
      This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...  View Details
      Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice And Bias; Retail industry; apparel And accessories industry; Technology industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised March 2021.)
      • September 2020
      • Supplement

      Spreadsheet Supplement to Artea (B) and (C)

      By: Eva Ascarza and Ayelet Israeli
      Spreadsheet Supplement to "Artea (B): Including Customer-level Demographic Data" and "Artea (C): Potential Discrimination through Algorithmic Targeting"  View Details
      Keywords: Gender; Race; Diversity; Marketing; Customer Relationship Management; Demographics; Prejudice And Bias; Retail industry; apparel And accessories industry; Technology industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea (B) and (C)." Harvard Business School Spreadsheet Supplement 521-704, September 2020.
      • September 2020 (Revised December 2020)
      • Teaching Note

      Artea (A), (B), (C), and (D): Designing Targeting Strategies

      By: Eva Ascarza and Ayelet Israeli
      Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...  View Details
      Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice And Bias; Retail industry; apparel And accessories industry; Technology industry; United States
      Citation
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School Teaching Note 521-041, September 2020. (Revised December 2020.)
      • September 2020 (Revised March 2021)
      • Supplement

      Spreadsheet Supplement to Artea Teaching Note

      By: Eva Ascarza and Ayelet Israeli
      Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...  View Details
      Keywords: Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice And Bias; Retail industry; apparel And accessories industry; Technology industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised March 2021.)
      • September 2020 (Revised November 2020)
      • Case

      PDS: Ring-Fencing the Ranch

      By: Dennis Campbell, Tarun Khanna and Kerry Herman
      Pallak Seth, Group CEO of PDS Multinational Fashions, is contemplating options to bring better collaboration across his global apparel supply chain platform. PDS, a group of 50-plus subsidiary companies, each led by its own CEO and with different apparel industry...  View Details
      Keywords: Collaboration; Supply Chain Management; Performance; Partners And Partnerships; Employee Stock Ownership Plan; apparel And accessories industry
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      Campbell, Dennis, Tarun Khanna, and Kerry Herman. "PDS: Ring-Fencing the Ranch." Harvard Business School Case 721-361, September 2020. (Revised November 2020.)
      • May 2020 (Revised August 2020)
      • Case

      Brand Storytelling at Shinola

      By: Jill Avery, Giana M. Eckhardt and Michael B. Beverland
      Detroit, Michigan, aka “The Motor City,” is most known as the birthplace of most of the American classic automotive brands. It is a city filled with the rich history of the industrial age, the pride of American manufacturing, and of the soulful sounds of Motown music....  View Details
      Keywords: Marketing; Brands And Branding; Marketing Communications; Advertising; Luxury; Consumer Products industry; apparel And accessories industry; Retail industry; Detroit; United States; North America
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      Avery, Jill, Giana M. Eckhardt, and Michael B. Beverland. "Brand Storytelling at Shinola." Harvard Business School Case 520-102, May 2020. (Revised August 2020.)
      • March 2020 (Revised February 2021)
      • Case

      Levi Strauss (A): A Pioneer Lost in the Wilderness

      By: Joshua Margolis, Ashish Nanda, Margaret Cross, Imran Manji and Bismah Rahmat
      In 2011, newly appointed CEO Chip Bergh needed to urgently turn around the iconic but floundering denim apparel firm, Levi Strauss & Co. (LS&Co.) Famous for its blue jeans, LS&Co. had suffered a decline in revenue of 29% from $6.8 billion in 1997 to $4.8 billion in...  View Details
      Keywords: Turnarounds; Transformation; Strategy; Decision Choices And Conditions; Decision Making; Strategic Planning; apparel And accessories industry
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      Margolis, Joshua, Ashish Nanda, Margaret Cross, Imran Manji, and Bismah Rahmat. "Levi Strauss (A): A Pioneer Lost in the Wilderness." Harvard Business School Case 720-405, March 2020. (Revised February 2021.)
      • February 2020 (Revised January 2021)
      • Case

      Anomalie

      By: Jeffrey F. Rayport and Thomas O. Jones
      In early 2019, the founders of Anomalie, an online direct-to-consumer provider of bridal gowns, have just agreed to an $13.6 million Series A investment from a Silicon Valley VC. They are considering three major initiatives as they move forward. (1) To scale their...  View Details
      Keywords: Direct-to-consumer; Entrepreneurship; Online Technology; Growth And Development Strategy; Decision Choices And Conditions; apparel And accessories industry; Technology industry
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      Rayport, Jeffrey F., and Thomas O. Jones. "Anomalie." Harvard Business School Case 820-100, February 2020. (Revised January 2021.)
      • February 2020 (Revised February 2020)
      • Case

      StockX: The Stock Market of Things

      By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
      Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust...  View Details
      Keywords: Markets; Auctions; Bids And Bidding; Demand And Consumers; Consumer Behavior; Data And Data Sets; Market Design; Market Platforms; Two-sided Platforms; Multi-sided Platforms; Market Transactions; Marketplace Matching; Supply And industry; Analysis; Price; Product Marketing; Product Launch; apparel And accessories industry; Fashion industry; North And Central America; United States; Michigan; Detroit
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      Farronato, Chiara, John J. Horton, Annelena Lobb, and Julia Kelley. "StockX: The Stock Market of Things." Harvard Business School Case 620-062, February 2020. (Revised February 2020.)
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